2019
DOI: 10.1177/0361198119843235
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Capacity Modeling of Weaving Areas on Urban Expressways with Exclusive Bus Lanes Based on Gap Acceptance Theory

Abstract: Intense lane-changing maneuvers at weaving sections often cause traffic turbulence on expressways, especially in the presence of a concurrent medium exclusive bus lane (XBL) and general purpose lanes. Such intense lane-changing activity usually affects the operation and reduces the capacity of weaving sections in relation to their equivalent basic expressway segments. In this context, a study on the capacity model of weaving areas on an expressway with a median XBL is conducted based on the analysis of lane-ch… Show more

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Cited by 2 publications
(2 citation statements)
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“…Zhang et al [26] linked the OD model to the Macroscopic Fundamental Diagram (MFD) and calculated net-work capacity. And Chen et al [27] studied the capacity model weaving section on an expressway, which was conducted under the analysis of lane-change behaviours using gap acceptance theory. Ma et al [28] used a traffic guidance method based on a self-organizing critical state and induced vehicles by changing lanes ahead of the exit ramp at a certain distance to improve the AWS's traffic efficiency.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Zhang et al [26] linked the OD model to the Macroscopic Fundamental Diagram (MFD) and calculated net-work capacity. And Chen et al [27] studied the capacity model weaving section on an expressway, which was conducted under the analysis of lane-change behaviours using gap acceptance theory. Ma et al [28] used a traffic guidance method based on a self-organizing critical state and induced vehicles by changing lanes ahead of the exit ramp at a certain distance to improve the AWS's traffic efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…And Chen et al. [27] studied the capacity model weaving section on an expressway, which was conducted under the analysis of lane‐change behaviours using gap acceptance theory. Ma et al.…”
Section: Introductionmentioning
confidence: 99%